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Advances in Bioinformatics
Volume 2010, Article ID 289301, 9 pages
http://dx.doi.org/10.1155/2010/289301
Research Article

Prediction of Carbohydrate-Binding Proteins from Sequences Using Support Vector Machines

Seizi Someya,1 Masanori Kakuta,1 Mizuki Morita,2 Kazuya Sumikoshi,1 Wei Cao,1 Zhenyi Ge,1 Osamu Hirose,1 Shugo Nakamura,1 Tohru Terada,2 and Kentaro Shimizu1

1Department of Biotechnology, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
2Agricultural Bioinformatics Research Unit, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan

Received 6 March 2010; Revised 20 May 2010; Accepted 19 July 2010

Academic Editor: Rita Casadio

Copyright © 2010 Seizi Someya et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

The following table lists the carbohydrate-binding domains in the positive dataset found in NCBI Conserved Domains Database (CDD).

  1. Supplementary Material